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Building Indoor Temperature Control Using Control Horizon Method in Cooling Systems

냉방시스템 제어구간설정 방법을 이용한 건물 실내온도 제어

  • Boo, Chang-Jin (Department of Electrical Engineering, Jeju National University) ;
  • Kim, Jeong-Hyuk (Department of Electrical Engineering, Jeju National University) ;
  • Kim, Ho-Chan (Department of Electrical Engineering, Jeju National University)
  • Received : 2012.09.13
  • Accepted : 2012.10.11
  • Published : 2012.10.31

Abstract

In this paper, the TOU tariff's based building indoor temperature control algorithm in cooling systems is proposed using control horizon method. A control horizon switching method and linear programming algorithm is used for optimal control, and both TOU and peak tariffs are included to calculate the energy costs. Simulation results show that the reductions of energy cost and peak power can be obtained using proposed algorithms.

본 논문에서는 TOU 요금제 기반에서 제어구간 설정방법을 사용한 건물 냉방시스템 실내온도 제어 알고리즘을 제안한다. 건물 실내온도를 최적제어하기 위한 제어구간 설정은 스위칭방법과 선형계획법을 사용하고 냉방시스템 사용요금은 TOU와 피크 요금을 포함하여 산정한다. 시뮬레이션을 통해 제안한 제어구간 설정방법을 적용하면 전력 사용에 따른 비용의 절감과 피크 전력 절감을 확인할 수 있다.

Keywords

References

  1. Korea Institute of Energy Technology Evaluation and Planning, Green Energy Strategy Load Map, 2011.
  2. C.-B. Park, A Study on the Application of Low Energy Cooling System in Office Building, PhD Dissertation, Chung-Ang University, 2011.
  3. N. Mendes, G. H. C. Oliveira, H. X. Araujo, and L. S. Coelho, "A Matlabbased simulation tool for building thermal performance analysis," Eighth International IBPSA Conference, Eindhoven, Netherlands, August 11-14, 2003.
  4. I. Beausoleil Morrison, F. Macdonald, M. Kummert, T. McDowell, R. Jost, and A. Ferguson, "The design of an ESPr and TRNSYS cosimulator," In Proc. Building Simulation 2011, pp. 2333-2340, 2011.
  5. L. Magnier and F. Haghighat, "Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and artificial neural network," Building and Environment, vol. 45, no. 3, pp. 739-746, 2010. https://doi.org/10.1016/j.buildenv.2009.08.016
  6. Korea Energy Management Corporation, Energy Retrofit Project, 2004.
  7. A. W. M. van. Schijndel, Integrated Heat Air and Moisture Modeling and Simulation, PhD Dissertation, Eindhoven University of Technology, 2007.
  8. A. Sempey, C. Inard, C. Ghiaus, and C. Allery, "Reduced order model for air temperature control in indoor spaces", In second PALENC conference, pp. 924-928, Creae island, Greece, 2007.
  9. I. Hazyuk, C. Ghiaus, and D. Penhouet, "Optimal temperature control of intermittently heated buildings using model predictive control: Part I - Building modeling", Building and Environment, vol. 51 pp. 379-387, 2012. https://doi.org/10.1016/j.buildenv.2011.11.009
  10. Y. Yang, A. Pinto, A. Sangiovanni-Vincentelli, and Q. Zhu, "A design flow for building automation and control systems", 31st IEEE Real-Time Systems Symposium (RTSS'10), pp. 105-116, San Diego, CA, December 2010.